Data Quality & Analytics Intern (EDM)

Massachusetts Financial Services Company; Boston (MA); Hybrid; USD 28,000 - 34,000; Full time

Job summary

Massachusetts Financial Services Company (MFS) seeks an Enterprise Data Management Intern for a 10-12 week summer program in Boston. Interns work full-time (35-40 hours weekly), paid hourly, with a hybrid schedule of 2 remote days and 3 on-site days.

The internship provides structured activities and hands-on experience in data governance, analytics, and data technology within the EDM group, reporting to Data Management & Quality.

Qualifications

• Currently enrolled as a student, rising senior class of 2028.
• Strong communication skills, written and verbal.
• Analytical mindset with ability to learn quickly.

Responsibilities

• Work with the team to strengthen business documentation related to core investment data domains and activities
• Assist the Data Analysts with data analysis and visualization
• Execute daily and monthly data quality checks, identifying opportunities to strengthen and improve checks
• Opportunistically contribute to EDM data initiatives and perform data analysis
• Assist with Investments and Distribution Triage daily/weekly oversight activities; ensuring metadata completeness for root causes, domain type, and accountability/ownership
• Assist with maintenance of EDM SharePoint site
• Other data-focused tasks and projects as needed

Skills

Communication

Analytical thinking

Independent decision making

Creative problem solving

Team collaboration

Initiative

Education

Rising senior (class of 2028)

Tools

Word

Excel

PowerPoint

Job description

Massachusetts Financial Services Company (MFS) seeks an Enterprise Data Management Intern for a 10-12 week summer program in Boston. Interns work full-time (35-40 hours weekly), paid hourly, with a hybrid schedule of 2 remote days and 3 on-site days.

The internship provides structured activities and hands-on experience in data governance, analytics, and data technology within the EDM group, reporting to Data Management & Quality.